| 2. Dynamical biomedical systems. Approaches to their modelling |
2.1. Types of biosistems of interest
2.2. Biochemical reaction kinetics
2.3. Cellular level
2.3.1. Metabolism
2.3.2. Cellular signalling
2.3.3. Gene expression
2.4. Organ level
2.4.1. Electrophysiology
2.4.2. Glucose regulation
2.4.3. Pharmacokinetics and pharmacodynamics
2.5. Population level
2.5.1. Epidemiology
2.5.2. Microbial communities |
| 4. Model building and system identification |
4.0. STEP 0: obtain the equations of the model
4.1. STEP 1: analyse observability and structural identifiability
4.2. STEP 2: define the objective function
4.3. STEP 3: parameter optimization
4.3.1. Local methods
4.3.2. Global methods
4.3.3. Definition of the optimization problem
4.4. STEP 4: analysis of the goodness of fit
4.5. STEP 5: Parameter uncertainty quantification
4.6. STEP 6: Prediction uncertainty quantification
4.7. Experimental design
4.8. Model selection
4.9. Computational resources |
